AI-Based Text Analytics
Keatext (keatext.ai) earns a Brand Analyzer score of 75 out of 100, placing it in the Brand-Ready tier among SaaS brands, Technology brands. Among 12361 SaaS brands analyzed, Keatext ranks in the 81st percentile (category average 69, leader 97). The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark. Dimension scores: Name Quality 100/100, Digital Presence 82/100, Visual Identity 97/100, Messaging Clarity 95/100, Trust Foundation 63/100, AI Discoverability 100/100, Brand Authority 30/100.
Keatext is a SaaS platform that uses artificial intelligence to analyze customer feedback from multiple channels, including reviews, surveys, and support tickets. It identifies issues and delivers actionable recommendations aimed at improving customer satisfaction and reducing churn. The platform is designed for customer-centric businesses and provides insights rapidly, enabling data-driven decisions to strengthen customer relationships.
| Brand Name | Keatext |
|---|---|
| Domain | keatext.ai |
| Industry | SaaS, Technology |
| Main Competitors | Qualtrics (78/100), Medallia, Clarabridge, Sprinklr (93/100), Thematic, MonkeyLearn |
Moz Domain Authority 41/100 vs category average 28 / leader 99 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #2,151,822 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.
The homepage meta description reads "Analyze reviews, surveys, and support tickets in one platform that provides AI-based recommendations to improve customer satisfaction." (Meta description: 17 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 2 JSON-LD block(s), Organization schema, FAQ schema, Breadcrumb/Website schema, og:title, og:description, og:image, og:type, Twitter cards, canonical.
AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Social footprint: verified profiles on LinkedIn, Instagram, YouTube, GitHub; no detected presence on Facebook, X (Twitter) - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Keatext scores 38/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Keatext has a weak AI-visibility profile at 38/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (85/100) and its weakest is visibility (0/100). It benefits from a global traffic rank of #2,151,822 (Tranco), a Moz Domain Authority of 41/100 and open access for AI crawlers (GPTBot, ClaudeBot, etc.). The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, no strong Wikidata entry and no llms.txt to steer AI to its best pages.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Keatext's main competitors include Qualtrics (78/100), Medallia, Clarabridge, Sprinklr, Thematic. These companies compete in the SaaS space for similar customers, offering comparable products or services.
Sources: Keatext official site
Keatext and Qualtrics are competitors in SaaS. Brand Analyzer scores Keatext at 75/100 and Qualtrics at 78/100. They target overlapping audiences; the right choice depends on your specific needs and priorities.
Sources: Keatext official site
Keatext offers a single SaaS platform that performs AI-based text analytics on customer feedback. Its core capabilities include analysis of reviews, surveys, and support tickets within one unified interface. The platform provides AI-based recommendations designed to improve customer satisfaction and reduce churn, and is described as capable of delivering insights in minutes to support data-driven business decisions.
Sources: Keatext official site
Keatext analyzes customer feedback from multiple sources, such as reviews, surveys, and support tickets, using AI-based text analytics. It pinpoints issues within that feedback and provides actionable recommendations intended to reduce customer churn and boost satisfaction. The platform is designed to deliver these insights in minutes, enabling businesses to make data-driven decisions that strengthen customer relationships.
Sources: Keatext official site
Popular alternatives to Keatext include Qualtrics (78/100), Medallia, Clarabridge, Sprinklr, Thematic. Each is an established option in the SaaS space; the best fit depends on your specific needs, budget, and required features.
Sources: Keatext official site
Keatext is an AI-powered SaaS platform designed for customer-centric businesses. It consolidates customer feedback from multiple channels - including reviews, surveys, and support tickets - into a single platform and applies artificial intelligence to surface insights and recommendations. Its positioning describes it as a tool trusted by customer-centric businesses for rapid text analytics and measurable business impact.
Sources: Keatext official site
Keatext has limited AI-search visibility, scoring 38/100 on Brand Analyzer's AI visibility composite (visibility 0, trust 56, recommendation 85). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Keatext official site
Keatext scores 85/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest SaaS options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Keatext official site
Keatext is known for its AI-powered text analytics capabilities, specifically its ability to process customer feedback from multiple channels in a single platform. It is recognized for delivering insights rapidly - described as delivering results in minutes - and for providing actionable recommendations that help businesses reduce churn and improve customer satisfaction. Its positioning highlights rapid text analytics and business impact as core differentiators.
Sources: Keatext official site
Keatext can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: Keatext official site
Keatext is designed for customer-centric businesses that need to analyze customer feedback across multiple channels, including reviews, surveys, and support tickets. The platform is specifically aimed at organizations handling global feedback and seeking to improve customer satisfaction and reduce churn. The known facts do not specify particular industries, company sizes, or named customers beyond this general audience description.
Sources: Keatext official site
Based on the available facts, Keatext's appeal appears to stem from its ability to consolidate feedback from multiple channels - reviews, surveys, and support tickets - into one platform and deliver AI-generated insights in minutes. This speed and multi-channel consolidation, combined with actionable recommendations aimed at reducing churn and improving satisfaction, positions it as a practical tool for customer-centric teams. The known facts do not provide specific popularity metrics or user volume data.
Sources: Keatext official site
Ranked closest to Keatext: Veeam Kasten (75/100), Karma (75/100), KeyCare (75/100), Kickbox (75/100).
A step up - brands to learn from: Zyte (81/100), Zipline (81/100).
Category leader: Accenture (97/100).